Where did this number come from?
sourcegrade takes a URL and shows where each number on the page came from, link by link. For AI agents, it is one call. It follows the sources; it does not judge the claims.
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Failory: startup failure rates failory.com/blog/startup-failure-rate
Ten numbers checked against five pages: 1 found on a primary page, 1 found on a page off the primary list, 3 not found in a BLS table, 3 not found on Startup Genome's home page, and 2 cite a WSJ article the site's robots.txt kept the grader from reading.
secondary at least half of the page's statistic and number claims are cited: by a link, a footnote, a source named from the grader's primary source list, or one of two page-level rules noted on the grade page.Grade C at least 40% of checked claims trace. -
HubSpot: marketing statistics hubspot.com/marketing-statistics
27 of 36 numbers carry a link. Six were checked against four pages before the fetch limits: 2 found, 4 not found in the text read, none on a primary source. HubSpot's own report figures carry no link.
secondary at least half of the page's statistic and number claims are cited: by a link, a footnote, a source named from the grader's primary source list, or one of two page-level rules noted on the grade page.Grade D at least 10% of checked claims trace, or most checked claims cite a source that could not be fetched or that the site's robots.txt rules out. -
ZipDo: restaurant statistics zipdo.co/restaurant-success-statistics
Seventeen numbers. No link, no footnote, and no source named for any of them.
repackaging fewer than half of the page's statistic and number claims are cited.No letter a page that is not primary needs at least one checked claim for a letter, and a page of kind unknown gets none. An F needs 3 checked claims.
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